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Zhi Li,1 Shuqiang Chen,2 Jinguo Li3 1Health Management Center, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian, People’s Republic of China; 2Ultrasound Department, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People’s Republic of China; 3Ultrasound Department, Fujian Medical University Union Hospital, Fuzhou, Fujian, People’s Republic of ChinaCorrespondence: Jinguo Li, Email Lxy1990@163.comBackground: Extrathyroidal extension (ETE) is a crucial factor affecting the prognosis of thyroid cancer. Two-dimensional ultrasound is highly sensitive to ETE, but the sensitivity and specificity for severe ETE are unideal, so it does not improve the prognosis.Materials and Methods: This retrospective study evaluated patients within three years of subcapsular thyroid cancer diagnosis with fine-needle aspiration (FNA). Routine ultrasound was performed and examined before surgery. In addition to the traditional two-dimensional assessment method, particular attention was paid to transcapsular blood vessels, and the diagnostic efficacy of the two methods for mild, severe, and anterior and posterior ETE was compared.Results: A total of 208 thyroid cancer nodules were included. Tumor size and gender were correlated with whether ETE occurred. The general method is more accurate for the overall identification of ETE but is not specific enough for severe ETE, while the transvascular method is the opposite. The two are similar in identifying the ETE of the anterior capsule, but the transvascular method has higher specificity in identifying the ETE of the posterior capsule.Conclusion: The traditional two-dimensional method is highly sensitive to ETE detection in the anterior capsule, while transcapsular blood flow can more effectively detect extensive ETE and ETE in the posterior capsule.Keywords: extrathyroidal extension, thyroid cancer, ultrasound, prognosis, metastasis

Qingshan Huang,1 Lijun Xie,2 Liyan Huang,2 Weili Wei,2 Haiying Li,2 Yunfang Zhuang,2 Xinxiu Liu,2 Shuqiang Chen,2 Sufang Zhang2 1Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China; 2Department of Ultrasound, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People’s Republic of ChinaCorrespondence: Sufang ZhangDepartment of Ultrasound, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People’s Republic of ChinaTel/Fax +86-591-87981961Email zsufang@fjmu.edu.cnQingshan HuangMusculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, 100044, People’s Republic of ChinaTel/Fax +86-10-88324471Email hqingshan@pku.edu.cnBackground: High-resolution ultrasound is the first choice for the diagnosis of thyroid nodules, but it is still difficult to distinguish between follicular thyroid carcinoma (FTC) and follicular adenoma (FA). Our research aimed to develop and validate an ultrasonic diagnostic model for differentiating FTC from FA.Methods: This study retrospectively analyzed 196 patients who were diagnosed as FTC (n=83) and FA (n=113). LASSO regression analysis was used to screen clinical and ultrasonic features. Multivariate logistic regression analysis was used to establish the ultrasonic diagnostic model of FTC. Nomogram was used for the visualization of diagnostic models. C-index, ROC, and calibration curves analysis were used to evaluate the accuracy of the diagnostic model. Decision curve analysis (DCA) was used to evaluate the net benefits of the ultrasonic diagnostic model for FTC diagnosis under different threshold probabilities. The bootstrap method was used to verify the ultrasonic diagnostic model.Results: After Lasso regression analysis, 10 clinical and ultrasonic features were used to construct the ultrasonic diagnostic model of FTC. The C-index and AUC of the model were 0.868 and 0.860, respectively. DCA showed that the ul

Sufang Zhang,1,* Liyan Huang,1,* Qingshan Huang,2,* Weili Wei,1 Lijun Xie,1 Jinshu Zeng,1 Qiuyang Gu,1 Ling Chen,1 Shuqiang Chen1 1Department of Ultrasound, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People’s Republic of China; 2Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, 100044, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shuqiang ChenDepartment of Ultrasound, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People’s Republic of ChinaTel/Fax +86-591-87981961Email chenshu0518@163.comPurpose: Ultrasonography as the first choice for thyroid nodules is still difficult to distinguish between solid follicular thyroid neoplasm (FTN) and solid nodular goiter (NG). We tried to investigate the value of relative size (M/S, M: the maximum diameter of target nodule, S: the maximum diameter of the largest of the remaining nodules) that may help to differentiate FTN from NG.Methods: T test and chi-square test were used to retrospectively analyze the differences of the clinical and ultrasonographic characteristics between FTN and NG in 422 cases in our hospital. T test was used to analyze the difference of M/S value in the two kinds of nodules. ROC was used to evaluate the accuracy of M/S value in distinguishing the two.Results: There were statistically significant differences in age, echogenicity, calcification, peripheral halo and blood supply between the two. The M/S value is not only significantly different in the two kinds of nodules but also can be used as a quantitative indicator to guide ultrasound diagnosis. ROC analysis showed that the cutoff point and AUC of M/S value were 1.94 and 0.709, respectively.Conclusion: In the ultrasound diagnosis of multiple thyroid nodules, the M/S value can better distinguish FTN and NG. We need to be aware of FTN when the M/S value of the nodule is greater than 2.Ke

陳樹強., 論文(哲學博士)--香港中文大學, 2001., 參考文獻 (p. 224-244), 中英文摘要., Available also through the Internet via Dissertations & theses @ Chinese University of Hong Kong., Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web., Mode of access: World Wide Web., Chen Shuqiang., Lun wen (Zhe xue bo shi)--Xianggang Zhong wen da xue, 2001., Can kao wen xian (p. 224-244), Zhong Ying wen zhai yao., http://library.cuhk.edu.hk/record=b6073822, Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)